Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Physics-informed neural network with weighted loss and hard constraints for hyperbolic conservation laws. [PDF]
Ghoreishi MS, Naderan H.
europepmc +1 more source
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source
Lie symmetry approach to the dynamical behavior and conservation laws of actin filament electrical models. [PDF]
Beenish, Samreen M, Alshammari FS.
europepmc +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Atemporality from Conservation Laws of Physics in Lorentzian-Euclidean Black Holes. [PDF]
De Bianchi S, Capozziello S, Battista E.
europepmc +1 more source
Diatom‐Inspired 1D Immobile Robots Capable of 2D Collective Mobility
This study presents a diatom‐inspired robotic system that explores group coordination through limited physical interactions. The researchers tune groups of Barbots, simple robotic agents that possess neither individual mobility nor explicit communication capabilities, to achieve complex and adaptive collaboration based on environmental light.
Tianyi Hu +4 more
wiley +1 more source
Gas-Kinetic Schemes For Conservation Laws With Non-Convex Fluxes
在這篇論文中, 我們用氣體動力學的方法, 探討守恆律方程的問題。 其中針對非凸性流量的情形, 設計在氣體平衡時拋物線型的速率分布函數。In this paper, we use the concept of gas-kinetic schemes to solve the equations of conservation laws.
劉音宏, Liu, Yin-Hung
core
Universal conservation laws of the wave-particle-entanglement triad: theory and experiment. [PDF]
Ding Z +8 more
europepmc +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source

